【摘要】 基于遗传算法和拟静力简化毕肖普法提出搜索地震作用下最危险滑动面及相应的最小安全系数的方法。阐述了应用遗传算法搜索最危险滑动面的计算过程和原理。开发了基于遗传算法的拟静力简化毕肖普数值法的计算和数据处理程序。在固定一个出逸点的情况下,分别绘制了有地震作用及没有地震作用下的安全系数分布图。数值算例表明,所建立的基于遗传算法的岩土边坡地震稳定性分析方法,是一种全局优化搜索算法,能够有效克服经典搜索方法易陷入局部极小值的缺点。从安全系数分布图可以看出,地震对安全系数分布情况影响很小,但扩大了安全系数低值区。更多还原

【Abstract】 Based on genetic algorithm and pseudo-static Bishop Simplified Method, searching methods for the most dangerous slip surface and the according minimal safety factor are introduced in this paper. The principle and the procedures of the computation are interpreted. Program for numerical computation and data process are developed basing on genetic algorithm and pseudo-static Bishop Simplified Method. Considering the case of fixed escaping point, the distribution map of safety factor on condition of both existing seismic loads and not existing seismic loads are plotted respectively. Numerical example shows that analyzing method of the slope stability based on the genetic algorithm is a global optimal procedure that can overcome the drawbacks of local optimum widely existing in classic searching methods. According to the safety factor distribution map, seismic load has limited impact on the distribution of the safety factor though expanding the low safety factor areas.更多还原